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Wheelchair-related falls in veterans with spinal cord injury residing in the community: a prospective cohort study.
Nelson, Audrey L; Groer, Shirley; Palacios, Polly; Mitchell, Douglas; Sabharwal, Sunil; Kirby, R Lee; Gavin-Dreschnack, Deborah; Powell-Cope, Gail.
Afiliação
  • Nelson AL; Health Services Research & Development, James A. Haley Veterans Hospital, Tampa, FL, USA. audrey.nelson@va.gov
Arch Phys Med Rehabil ; 91(8): 1166-73, 2010 Aug.
Article em En | MEDLINE | ID: mdl-20684896
ABSTRACT

OBJECTIVES:

(1) To determine the incidence of wheelchair falls and fall-related injuries in persons with spinal cord injury (SCI) living in the community. (2) To predict wheelchair-related falls and associated injuries from specific parameters including characteristics of the wheelchair user, wheelchair type and features, health care practices, wheelchair activities, and physical environment.

DESIGN:

This prospective cohort study followed participants monthly over 1 year; data were collected through surveys, interviews, performance testing, observation, and medical records.

SETTING:

Three Veterans' Administration hospitals.

PARTICIPANTS:

Convenience sample of community-dwelling persons with SCI who used a wheelchair as their primary means of mobility (N=702).

INTERVENTIONS:

Not applicable. MAIN OUTCOME

MEASURES:

Self-reports of wheelchair falls and fall-related injuries, Wheelchair User Characteristics Survey, Health Status Checklist, Health-Related Behaviors, Zuckerman Sensation Seeking Scale, Wheelchair and Equipment-Related Behaviors, Wheelchair Characteristics, Wheelchair Skills Test, and Physical Environment Assessment.

RESULTS:

Of the 659 subjects who completed the study, 204 participants (31%) reported 553 fall events, and 95 subjects (14%) were injured as a result of wheelchair falls. A logistic regression model for predicting wheelchair falls identified 6 significant risk factors pain in previous 2 months, alcohol abuse, greater motor function, history of previous fall, fewer SCI years, and shorter length of wheelchair. Eighty-two percent of the variance for wheelchair fall events was explained by these 6 variables. A logistic regression model for predicting injurious falls identified 4 significant risk factors pain in previous 2 months, greater motor function, history of previous fall, and inaccessible home entrance. These 4 factors were able to explain 81% of the variance for injurious falls.

CONCLUSIONS:

This is the first study to determine the incidence of wheelchair-related falls in community-dwelling people with SCI who use a wheelchair. Results indicate the incidence of falls was 31% and injurious falls was 14%. Those at greatest risk can be predicted from some readily available information regarding their clinical status, wheelchair features, and home environment.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Traumatismos da Medula Espinal / Cadeiras de Rodas / Ferimentos e Lesões / Acidentes por Quedas Tipo de estudo: Clinical_trials / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspecto: Patient_preference Limite: Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Revista: Arch Phys Med Rehabil Ano de publicação: 2010 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Traumatismos da Medula Espinal / Cadeiras de Rodas / Ferimentos e Lesões / Acidentes por Quedas Tipo de estudo: Clinical_trials / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspecto: Patient_preference Limite: Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Revista: Arch Phys Med Rehabil Ano de publicação: 2010 Tipo de documento: Article País de afiliação: Estados Unidos